Table REF  presents the performance of different binarization methods on the H-DIBCO 2016 data set.
Our proposed method provides better results than the traditional threshold methods and also than other deep learning methods, such as the recurrent neural network [1]} and the hierarchical deep supervised network [2]}.
Fig. REF  shows the enhanced and corresponding binarization maps computed by the proposed DeepOtsu (SR) method on this data set and we can see that the enhanced images are uniform and clean without noise and textures on the background.
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